Detection of the Process about Extreme Weather Events

Zhonghua Qian, Zengping Zhang, Guolin Feng

College of Physical Science & Technology, Yangzhou University, Yangzhou, China.

DOI: 10.4236/jamp.2013.16002                

Abstract

In view of extreme values events mathematically rather than the process about extreme weather events, phase synchronization clustering method is introduced and the applicability of the method is discussed from the aspects of noise intensity and sequence length. At last the observed data is applied. The results show that clustering measure difference can detect the temporal process objectively to a certain degree and it has certain application to detect the temporal proc- ess of extreme weather events.

Keywords

Process; Phase Synchronization; Clustering

Conflicts of Interest

The authors declare no conflicts of interest.

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